IBM / B AB / InterWeave / Compaq / RTL / Intel / Microsoft / /
Country
United States / /
Currency
USD / / /
Event
Company Expansion / Reorganization / /
Facility
Michael L. Scott Computer Science Department University of Rochester / Duke University / InterWeave library / /
IndustryTerm
system-area networks / interactive data mining / local-area network / segment server / replication protocols / diff processing time / e.g. retail purchases / slower 10Mbps network / Internet Caching Protocol / Language-independent distributed object systems / realistic applications / similar solutions / congestion-free 10Mbps local-area network / Internet applications / database server / Internet traffic / Internet URL / appropriate server / wide-area networks / 10Mbps network / homogeneous hardware / Internet proxy caching / web proxy caching / e - commerce / web server / computing / coherence management / 100Mbps network / incremental sequence mining / /
OperatingSystem
XP / Linux / IRIX / AIX / Solaris / Tru64 Unix / Windows NT / /
Organization
National Science Foundation / U.S. Department of Energy office of Inertial Confinement Fusion / Harvard / IRCache / University of Rochester / Duke University / US Federal Reserve / /
Person
Figure / Michael L. Scott / Brandon Sanders / /
Position
uniform programming model for distributed applications / concurrent writer / writer / application programmer / programmer / /
Product
Delta / /
ProgrammingLanguage
Java / Fortran / Fortran 77 / C++ / /
ProvinceOrState
Pennsylvania / California / /
Technology
Alpha / replication protocols / Linux / API / CORBA / operating system / shared memory / operating systems / disk cache / Ethernet / Java / HTTP / data mining / caching / Simulation / virtual memory / Internet Caching Protocol / client/server / web server / /
Exploiting High-level Coherence Information ∗ to Optimize Distributed Shared State DeQing Chen, Chunqiang Tang, Brandon Sanders, Sandhya Dwarkadas, and Michael L. Scott Computer Science Department